Scott (Seongwon) Lee’s Homepage

I am a Ph.D. student in Mechanical Science and Engineering Department at the University of Illinois at Urbana-Champaign, advised by Professor Nancy M. Amato.

My research focuses on developing fast and scalable multi-robot task and motion planning algorithms. I have extensive experience integrating hardware and software for impactful real-world deployments.

I received my bachelor’s degree in Mechanical Engineering under the guidance of Professor Jongeun Choi from Yonsei University in Seoul, South Korea, in 2021.

I am looking for research internships for Summer/Fall 2025.

Research

Lazy-DaSH: Lazy Approach of Hypergraph-based Multi-robot Task and Motion Planning
Seongwon Lee, James Motes, Isaac Ngui, Marco Morales, Nancy M. Amato
ICRA@40 / Paper / Poster

A Hierarchical Approach to Workstation-based Task Allocation and Motion Planning
Seongwon Lee, James Motes, Isaac Ngui, Marco Morales, Nancy M. Amato
IROS 2023 Workshop / Paper / Poster

Output Feedback Control Design for Quadrotors Using Recursive Least Square Dynamic Inversion
Seongwon Lee, Joohwan Seo, Connor J. Boss, Joonho Lee, Jongeun Choi
Elsevier Mechatronics / Paper / YouTube

Nonaffine Helicopter Control Design and Implementation Based on a Robust Explicit Nonlinear Model Predictive Control
Joohwan Seo, Seongwon Lee, Joonho Lee, Jongeun Choi
IEEE Transactions on Control Systems Technology / Paper / YouTube

Unexpected Collision Avoidance Driving Strategy Using Deep Reinforcement Learning
Myunhoe Kim, Seongwon Lee, Jaehyun Lim, Jongeun Choi, Seong Gu Kang
IEEE Access / Paper

Projects

Mind in Vitro (MiV)
Developing an robotics automation system for a biology lab, funded by National Science Foundation (NSF)

Skills:

MiV

Factory Automation Demo
Demonstrated a simple factory automation demo to pre-college students at the Engineering Open House (EOH) at UIUC

Skills:

EOH

Robotics Course Project: Handoff Operation for Mobile Manipulators
Designed a vision-based system for handoff operations between a workstation and a mobile manipulator

Skills:

Youtube

Robomaster AI Challenge ICRA2019
Implemented cooperative planning algorithms for fully autonomous combat robots (Achieved 3rd place)

Skills:

Robomaster AI Challenge / Youtube

Professional Service

• Reviewer
  • ICRA, IROS, WAFR (2022 - 2024)
• Teaching & Mentoring
  • Research Program Mentor (CS), UIUC – Fall 2023, Summer 2024, Spring 2024
  • Fluid Mechanics (ME 310), UIUC – Fall 2022, Spring 2024, Fall 2024
  • Mathematical Methods (TAM 541), UIUC – Fall 2021